AI Act and Logistics: Compliance for German Supply Chains
Logistics runs on optimization, and AI excels at optimization. Route planning, demand forecasting, warehouse automation, fleet management—these applications power modern supply chains. Most fall into lower risk categories under the EU AI Act compliance overview.
But when AI controls safety-critical systems or affects workers, the rules tighten.
Warehouse and Fleet Automation
Autonomous vehicles in warehouses and on roads face different rules. Warehouse AGVs operating in controlled environments are generally lower risk. Autonomous delivery vehicles on public roads intersect with vehicle safety regulation and potentially high-risk AI classification.
For warehouse automation, the Machinery Regulation applies alongside the AI Act. If AI is a safety component, compliance requirements increase—including for predictive maintenance systems, where our AI predictive maintenance compliance guide provides the relevant framework. Automation platforms like Make (formerly Integromat) and Zapier are common in logistics workflows and should be part of any AI inventory.
Route Optimization and Planning
This is the bread and butter of logistics AI, and it’s low risk. Route optimization, demand forecasting, inventory management, delivery scheduling—business tools that don’t trigger special obligations. Our AI supply chain management compliance guide and AI demand forecasting compliance resources explain what documentation is sufficient for these tools. Document them and move on.
The exception: if scheduling AI significantly affects driver working conditions, transparency obligations apply.
Worker Monitoring in Logistics
Logistics has embraced worker monitoring: tracking driver behavior, warehouse picker productivity, delivery performance. Some of this is fine. Some crosses lines.
Emotion recognition? Prohibited. Continuous surveillance that creates psychological pressure? Problematic. Safety monitoring with transparency? Generally acceptable. Performance tracking needs works council involvement.
What This Means Practically
Logistics companies should map AI by function. Optimization and planning tools need minimal compliance. Autonomous systems need supplier compliance verification. Worker monitoring needs transparency and works council coordination.
How Compound Law Helps
- AI inventory and classification
- Autonomous vehicle compliance
- Worker monitoring frameworks
- Machinery Regulation integration
- Works council coordination
Frequently Asked Questions
Is route optimization AI regulated? Not as high-risk. Standard business optimization tools need only basic documentation.
What about autonomous delivery vehicles? On public roads, vehicle safety and potentially high-risk AI rules apply. Verify supplier compliance.
Can we track driver performance? Yes, with transparency. Works council involvement required. No emotion recognition.
